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Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk. Learn how to design memory lifecycle policies for Amazon Bedrock AgentCore: scoring, consolidating, and pruning agent memories on a nightly AWS Step Functions workflow, with a deployable AWS CDK stack. Link to article: …
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Building a Physical AI system takes a continuous pipeline, not a single training job. This post shows how to run that model factory (synthetic data generation, post-training, and closed-loop evaluation with NVIDIA Cosmos 3) on a persistent, resilient Amazon SageMaker HyperPod cluster on Amazon EKS, with GPU goodput as …
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HyperPod InstantStart is an open source control plane that composes Amazon EKS orchestration with the managed capabilities of Amazon SageMaker HyperPod. It drives the same guarded operations through both a web interface and an AI agent, turning cluster bootstrap, capacity, training, inference, and storage into …
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Learn how to customize an Amazon Bedrock knowledge base for large, complex documents by combining the high-accuracy text extraction of Amazon Textract with the generative AI of Amazon Bedrock. This post shows how to ingest and preprocess PDFs and images, then query utility bills at scale for faster, more accurate …
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Disaster recovery at scale is hard. Learn how Intuit built EWOK Agent, an agentic disaster recovery assistant on Amazon Bedrock that lets on-call engineers run production failovers from a plain-language request while keeping every action audited, policy-compliant, and safe. Link to article: …
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Agents are more useful when they can remember what matters beyond the current conversation. Today, we're announcing a new preview integration that gives Microsoft Agent Framework agents durable, cross-session memory backed by Azure Cosmos DB. The new Python package, agent-framework-azure-cosmos-memory Link to article: …
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The dotNetDave No Rest for the Wicked World Tour arrives in Austin on November 13, 2026, during SpiceWorld, featuring a session titled "Röck Yoür Cäreer." Attendees can expect valuable insights from a seasoned software engineer, focusing on building sustainable tech careers, developing learning habits, and …
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You finally did it. You stopped publishing CRUD events and started broadcasting domain events. Instead of publishing ShipmentStatusChanged, ShipmentUpdated, or EstimatedDeliveryDateChanged, you started publishing more meaningful domain events like DeliveryAttemptFailed, ETARecalculated, and ShipmentDelayed. And …
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Application developers already know what happens when one method does everything: it becomes difficult to read, test, reason over, and safely change. We use patterns like decomposition, encapsulation, and explicit dependencies because they solve those problems. T-SQL does not give us classes, inheritance, interfaces, …
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Schema change is inevitable. We do not get everything right the first time, and even when we do, the world around the database keeps changing. Requirements mature, products evolve, and assumptions that made sense years ago eventually stop matching reality. Businesses change too. We acquire companies, merge Link to …
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If you ship an application with Native AOT, a green managed test run leaves a gap. Native AOT compiles ahead of time, removes unused code, and requires alternatives to runti Link to article: https://devblogs.microsoft.com/dotnet/mstest-source-generation
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YOLO mode lets an AI agent run without asking permission. Learn what it is, why it's risky, and how to run it safely. Link to article: https://www.docker.com/blog/what-is-yolo-mode/
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Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) often struggle to turn concepts into working code. This post walks through two reference implementations on Amazon Bedrock AgentCore, Kiro, and Claude Code: an SQL-to-ER-diagram generator and a multi-agent code security analyzer that put the AI-DLC …
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An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: onto Runtime, Gateway, and Memory, then to model-driven planning on Strands Agents, retiring operational burdens along the way. Link to …
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Integrate Microsoft Outlook with Amazon Quick to automate email management, calendar scheduling, and workflow coordination. This post walks through the end-to-end setup and shows automation scenarios using Amazon Quick chat agents, Amazon Quick Flows, and Amazon Quick Automate. Link to article: …
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Deploy a customer-operated LiteLLM gateway on Amazon ECS with AWS Fargate, connect it to an OpenAI model on Amazon Bedrock, and configure Codex to route requests through the gateway's Responses API with scoped identities, budgets, rate limits, and telemetry. We also compare direct IAM Identity Center access and a …
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Learn best practices for building production-grade, agent-based business process automations with Amazon Quick Automate: choosing the right process, designing focused agents, combining them with deterministic steps, applying human-in-the-loop review, and building in evaluation and observability. Link to article: …
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Learn how to embed individual Amazon Quick Sight visuals into a React application with per-user access control. This walkthrough uses Amazon Cognito authentication and a serverless AWS Lambda backend to generate scoped embed URLs, deployed with a single AWS CloudFormation stack. Link to article: …
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OpenAI introduces Daybreak for Frontline Defenders. A $1 billion commitment expands access to frontier cyber AI, training, and support for essential services. Link to article: https://openai.com/index/daybreak-for-frontline-defenders
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Learn how to unit test C# processing pipeline behavior with deterministic checks for order, rejection, faults, cancellation, capacity, drain, and cleanup. Link to article: https://www.devleader.ca/2026/09/03/how-to-unit-test-a-c-processing-pipeline
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